Exploring AI Practically

My background is philosophy. Not the academic kind: the practical kind, applied to technology. Four questions:

"What does it mean to use AI?"
"What's the return?"
"Is it right for me, or for my firm?"
"What can we control, and what can't we?"

Distinguish between what is within your control and what isn't. Accept the latter. Act on the former. The rest is noise.

AI is in the second category. It is not a choice. No decision - yours, your company's, your government's - will stop it.

What you control is whether you use it well. Most don't. They paste in a question, fix the answer, and do it again tomorrow. That isn't a tool problem. It's a management problem: nobody would hand an intern a job without a brief, a standard and a sign-off.

So I teach it in order. Set the rules: what goes in, and what never leaves the building. Define good: a KPI for each job. Decide what to hand over. Then build: tools, skills, automation, agents. Skip the first three and the fourth never sticks.

Fear is the starting condition here, not the enemy. I still feel it. The answer isn't bravado; it's a first step, then another. I'm not the expert above you. I'm the one who has taken the first steps, beside you.

We learn by doing, and AI is a participant.
Bring the job you keep repeating.